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Nauman Irshad Lab

Portfolio

Nauman Irshad Ali Shah

Data Analyst | Digital Twin | PIFuHD Metaverse | Flutter App developer. Project Manager for FIHPS / College History Society work at Forman Christian College (FCCU) with teacher Nadia Khushi (May 2021 – May 2022), including the Iqbal Day interview with Rector Sir Dr. Jonathan S. Addleton featured on the FCCU Official YouTube Channel.

5

Papers

3

Conference

2

Journal

7

Projects

2

Certificates

Nauman Irshad Ali Shah
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Certificates

Certificates and course completions

  • HarvardX · PredictionX: Omens, Oracles & Prophecies
    Certificate

    HarvardX · PredictionX: Omens, Oracles & Prophecies

    Certificate of completion — HarvardX SOC1.practx (Practice in Prediction / PredictionX).

    2026

  • Agri Asia 2026 · Certificate of Participation
    Certificate

    Agri Asia 2026 · Certificate of Participation

    Certificate awarded to Mr. Nauman Irshad Ali Shah as a delegate at the 19th International Agri Asia Conference (09–11 May 2026).

    2026

Papers

Conference and journal papers

Every manuscript where Nauman Irshad Ali Shah is an author — with first-page preview and collaborators.

  • First page — CARE-GATE: Cost-Aware Uncertainty Gating for Digital Twin based IoT Intrusion Response
    Conferenceunder-review2026Conference 2026

    CARE-GATE: Cost-Aware Uncertainty Gating for Digital Twin based IoT Intrusion Response

    Conference manuscript · Digital Twin IoT intrusion response

    Machine-learning intrusion detectors usually report predictive performance but do not specify how a detected IoT attack should be handled when response actions have different operational costs. This paper presents CARE-GATE, a cost-aware response policy that combines detector con…

    Collaborated with

    PDFGitHub
  • First page — CXG-DT: Confidence- and Explanation-Gated Digital Twin Response for IoT Intrusion Handling
    Conferenceunder-review2026ICETCONF 2026

    CXG-DT: Confidence- and Explanation-Gated Digital Twin Response for IoT Intrusion Handling

    ICET / International Conference on Emerging Technologies (CMT submission)

    Internet of Things (IoT) intrusion detectors often report high accuracy yet still fail at the operational response stage, where uncertain predictions can cause false isolation or delayed mitigation. This paper presents CXG-DT, a confidence- and explanation-gated Digital Twin (DT)…

    Collaborated with

    PDFGitHub
  • First page — PoseDepth-CMP: A Comparative Analysis of OpenPose COCO and MPI Keypoint Models for Contour-Guided Monocular Person Depth Estimation with Adaptive Selection
    Journalunder-review2026Journal (under review)

    PoseDepth-CMP: A Comparative Analysis of OpenPose COCO and MPI Keypoint Models for Contour-Guided Monocular Person Depth Estimation with Adaptive Selection

    Journal manuscript · Computer Vision / Pose & Depth

    Monocular depth estimation from human imagery supports clinical gait analysis, sports biomechanics, surveillance, and human–computer interaction, yet practitioners lack direct evidence for selecting between OpenPose body-model variants. PoseDepth-CMP provides a locked-seed compar…

    Collaborated with

    PDF
  • First page — Hybrid Approaches to Semantic Text Understanding: Bridging Traditional NLP and Deep Learning
    Conferenceunder-review2025Conference 2025

    Hybrid Approaches to Semantic Text Understanding: Bridging Traditional NLP and Deep Learning

    Conference manuscript · Semantic NLP

    This research paper presents a novel integrated framework for semantic text understanding that bridges traditional Natural Language Processing (NLP) techniques with modern deep learning approaches. We address semantic ambiguity by proposing a hybrid methodology that leverages sta…

    Collaborated with

    • Abdul Kabeer
    • Sharjeel Ayub
    PDF
  • First page — Mining Software Features from App Store Artifacts: A Pattern-Based Approach to Feature Extraction and Matching
    Journalpublished2025SEMS

    Mining Software Features from App Store Artifacts: A Pattern-Based Approach to Feature Extraction and Matching

    Spectrum of Engineering and Management Sciences

    This paper presents SAFE, a novel uniform approach to extract app features from single app pages, single reviews and to match them. We manually build 18 part-of-speech patterns and 5 sentence patterns that are frequently used in text referring to app features, then apply these pa…

    Collaborated with

    PDF

Projects

Projects led or co-built

Applied systems and research stacks — each with the people who worked with Nauman.

  • CXG-DT · Confidence- and Explanation-Gated Digital Twin IoT Response
    Under review2025 – 2026

    CXG-DT · Confidence- and Explanation-Gated Digital Twin IoT Response

    Digital Twin response framework for IoT intrusion handling with calibrated confidence, selective SHAP and gated monitor / throttle / isolate actions.

    Collaborated with

    GitHub
  • CARE-GATE · Cost-Aware Uncertainty Gating for DT Intrusion Response
    Under review2025 – 2026

    CARE-GATE · Cost-Aware Uncertainty Gating for DT Intrusion Response

    Cost-aware response policy that combines detector confidence, explanation stability and Digital Twin residuals before choosing monitor, throttle or isolate.

    Collaborated with

    GitHub
  • PoseDepth-CMP · OpenPose COCO vs MPI for Person Depth Estimation
    Under review2025 – 2026

    PoseDepth-CMP · OpenPose COCO vs MPI for Person Depth Estimation

    Locked-seed comparison of OpenPose COCO and MPI keypoint models inside a contour-guided monocular person depth pipeline, with adaptive model selection.

    Collaborated with

  • Smart Fitao AI · Cloth Size Prediction, 3D Try-On & Seller Studio (FYP)
    Ongoing2024 – 2026

    Smart Fitao AI · Cloth Size Prediction, 3D Try-On & Seller Studio (FYP)

    AI-powered cloth size prediction for tailors, 3D virtual try-on, a 24/7 chatbot with 3D product recommendations, and a seller 3D studio — presented at LCCI.

    Collaborated with

  • Crop Disease Detection · ResNet50 + Explainable AI for Agricultural Intelligence
    Completed2025 – 2026

    Crop Disease Detection · ResNet50 + Explainable AI for Agricultural Intelligence

    AI-powered plant disease detection with ResNet50, Grad-CAM explainability and real-time FastAPI inference — exhibited at Agri Asia 2026, Expo Centre Lahore.

    Collaborated with

  • SAFE · Mining Software Features from App Store Artifacts
    Completed2024 – 2025

    SAFE · Mining Software Features from App Store Artifacts

    Pattern-based NLP approach to extract and match app features from store descriptions and user reviews — with teacher Ameera Arif.

    Collaborated with

  • FIHPS Society · College History Society (FCCU)
    Completed2021 – 2022

    FIHPS Society · College History Society (FCCU)

    Project management and volunteer work with the FIHPS / College History Society at Forman Christian College under teacher Nadia Khushi — including the Iqbal Day interview with Rector Sir Dr. Jonathan S. Addleton.

    Collaborated with

Events

Conferences, exhibitions and presentations

  • Agri Asia 2026 · Crop Disease Detection exhibit
    Conference / Exhibition

    Agri Asia 2026 · Crop Disease Detection exhibit

    Exhibitor at the 19th International Agri Asia & Green Pakistan Exhibition — ResNet50 + Grad-CAM crop disease system.

    Collaborated with

  • LCCI · Smart Fitao AI presentation
    Presentation

    LCCI · Smart Fitao AI presentation

    Presentation to Lahore Chamber of Commerce and Industry leadership.

    Collaborated with

  • FCCU · FIHPS Society Project Manager
    Society / Social services

    FCCU · FIHPS Society Project Manager

    May 2021 – May 2022 · Project Manager with FIHPS / College History Society under Associate Professor Nadia Khushi. Organised the Iqbal Day interview with Rector Sir Dr. Jonathan S. Addleton — featured on the FCCU Official YouTube Channel.

    Collaborated with

Team

People who collaborated with Nauman

Every co-author, mentor and teammate from papers, projects and exhibitions above.

Contact

Work with Nauman

WhatsAppEmailAll lab publications